AWS DynamoDB Data Architect

1 day ago

Nellore, Andhra Pradesh, India beBeeDynamoDB Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: AWS Data Engineer with DynamoDB Experience

A dynamic and innovative data engineer is needed to design, develop, and implement end-to-end data engineering solutions on the AWS platform.

  • Design scalable DynamoDB databases, optimizing performance and ensuring data consistency, throughput, and storage efficiency.
  • Collaborate with cross-functional teams to gather data requirements and understand business objectives.
  • Architect and implement data models and schemas that align with best practices and optimize query performance.

Responsibilities include building robust and scalable data pipelines to extract, transform, and load (ETL) data from diverse sources into target systems. Additionally, integrating third-party APIs to retrieve and ingest data from external systems, ensuring data accuracy and reliability.

The ideal candidate will have a strong background in AWS services, including Glue, EMR, Lambda, and expertise in data modeling, schema design, and relational and non-relational database concepts. A solid working knowledge of SQL, SQL tuning, and data modeling best practices is also required.

Requirements
  • Bachelor's degree in Computer Science or a related field.
  • Minimum of 2+ years of experience in data engineering, specifically in building and maintaining data pipelines from scratch
  • Strong proficiency in AWS services such as Glue, EMR, Lambda, Dynamo DB, Postgres.
Benefits
  • Opportunity to work on cutting-edge projects and collaborate with a talented team of engineers.
  • Professional growth and development opportunities in a dynamic and supportive environment.
Skills
  • Experience in designing and implementing single-table architecture in DynamoDB, optimizing data models for scalability, efficient query patterns, and minimal read/write costs.
  • Proficiency in using PartiQL to query and manipulate data in DynamoDB, with a focus on optimizing queries for performance and integrating complex business logic.
  • Experience in developing and optimizing SQL queries for performance.

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